Search Results for author: Xinyu Tian

Found 11 papers, 3 papers with code

Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver

no code implementations12 Jun 2024 Hegan Chen, Jichang Yang, Jia Chen, Songqi Wang, Shaocong Wang, Dingchen Wang, Xinyu Tian, Yifei Yu, Xi Chen, Yinan Lin, Yangu He, Xiaoshan Wu, Xinyuan Zhang, Ning Lin, Meng Xu, Yi Li, Xumeng Zhang, Zhongrui Wang, Han Wang, Dashan Shang, Qi Liu, Kwang-Ting Cheng, Ming Liu

We experimentally validate our approach by developing a digital twin of the HP memristor, which accurately extrapolates its nonlinear dynamics, achieving a 4. 2-fold projected speedup and a 41. 4-fold projected decrease in energy consumption compared to state-of-the-art digital hardware, while maintaining an acceptable error margin.

Enhancing Accuracy in Generative Models via Knowledge Transfer

no code implementations27 May 2024 Xinyu Tian, Xiaotong Shen

Our theory suggests that the shared structures can augment the generation accuracy for a target task, reliant on the capability of a source model to identify shared structures and effective knowledge transfer from source to target learning.

Transfer Learning

OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments

1 code implementation14 Mar 2024 Yinan Deng, Jiahui Wang, Jingyu Zhao, Xinyu Tian, Guangyan Chen, Yi Yang, Yufeng Yue

In this work, we propose OpenGraph, the first open-vocabulary hierarchical graph representation designed for large-scale outdoor environments.

Zero-Shot Learning

Enhancing Multi-Hop Knowledge Graph Reasoning through Reward Shaping Techniques

no code implementations9 Mar 2024 Chen Li, Haotian Zheng, Yiping Sun, Cangqing Wang, Liqiang Yu, Che Chang, Xinyu Tian, Bo Liu

In the realm of computational knowledge representation, Knowledge Graph Reasoning (KG-R) stands at the forefront of facilitating sophisticated inferential capabilities across multifarious domains.

Knowledge Graphs Navigate +1

ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models

no code implementations CVPR 2024 Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang

Although soft prompt tuning is effective in efficiently adapting Vision-Language (V&L) models for downstream tasks, it shows limitations in dealing with distribution shifts.

Attribute Out-of-Distribution Generalization

Quaternion MLP Neural Networks Based on the Maximum Correntropy Criterion

no code implementations11 Sep 2023 Gang Wang, Xinyu Tian, Zuxuan Zhang

We propose a gradient ascent algorithm for quaternion multilayer perceptron (MLP) networks based on the cost function of the maximum correntropy criterion (MCC).

Training with Product Digital Twins for AutoRetail Checkout

1 code implementation18 Aug 2023 Yue Yao, Xinyu Tian, Zheng Tang, Sujit Biswas, Huan Lei, Tom Gedeon, Liang Zheng

Because the digital twins individually mimic user bias, the resulting DT training set better reflects the characteristics of the target scenario and allows us to train more effective product detection and tracking models.

Modeling the Distributional Uncertainty for Salient Object Detection Models

no code implementations CVPR 2023 Xinyu Tian, Jing Zhang, Mochu Xiang, Yuchao Dai

Most of the existing salient object detection (SOD) models focus on improving the overall model performance, without explicitly explaining the discrepancy between the training and testing distributions.

Long-tail Learning Object +3

On Blockchain We Cooperate: An Evolutionary Game Perspective

no code implementations10 Dec 2022 Luyao Zhang, Xinyu Tian

In our game, agents imitatively learn the global history in an evolutionary process toward equilibria, for which we evaluate the outcomes from both computing and economic perspectives in terms of safety, liveness, validity, and social welfare.

A General Divergence Modeling Strategy for Salient Object Detection

no code implementations23 Nov 2021 Xinyu Tian, Jing Zhang, Yuchao Dai

Given multiple saliency annotations, we introduce a general divergence modeling strategy via random sampling, and apply our strategy to an ensemble based framework and three latent variable model based solutions to explore the subjective nature of saliency.

Object object-detection +2

Generative Transformer for Accurate and Reliable Salient Object Detection

2 code implementations20 Apr 2021 Yuxin Mao, Jing Zhang, Zhexiong Wan, Yuchao Dai, Aixuan Li, Yunqiu Lv, Xinyu Tian, Deng-Ping Fan, Nick Barnes

For the former, we apply transformer to a deterministic model, and explain that the effective structure modeling and global context modeling abilities lead to its superior performance compared with the CNN based frameworks.

Attribute Camouflaged Object Segmentation +8

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